YData Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	15
Number of observations	89320
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.2 MiB
Average record size in memory	120.0 B

Variable types

Text	3
Categorical	1
Numeric	11

Alerts

`Freight_In_(tonnes)` is highly overall correlated with `Freight_Out_(tonnes)` and 6 other fields	High correlation
`Freight_Out_(tonnes)` is highly overall correlated with `Freight_In_(tonnes)` and 7 other fields	High correlation
`Freight_Total_(tonnes)` is highly overall correlated with `Freight_In_(tonnes)` and 7 other fields	High correlation
`Mail_In_(tonnes)` is highly overall correlated with `Freight_In_(tonnes)` and 7 other fields	High correlation
`Mail_Out_(tonnes)` is highly overall correlated with `Freight_Out_(tonnes)` and 3 other fields	High correlation
`Mail_Total_(tonnes)` is highly overall correlated with `Freight_In_(tonnes)` and 7 other fields	High correlation
`Passengers_In` is highly overall correlated with `Freight_In_(tonnes)` and 6 other fields	High correlation
`Passengers_Out` is highly overall correlated with `Freight_In_(tonnes)` and 6 other fields	High correlation
`Passengers_Total` is highly overall correlated with `Freight_In_(tonnes)` and 6 other fields	High correlation
`Passengers_In` has 10282 (11.5%) zeros	Zeros
`Freight_In_(tonnes)` has 22229 (24.9%) zeros	Zeros
`Mail_In_(tonnes)` has 50311 (56.3%) zeros	Zeros
`Passengers_Out` has 9387 (10.5%) zeros	Zeros
`Freight_Out_(tonnes)` has 21819 (24.4%) zeros	Zeros
`Mail_Out_(tonnes)` has 47753 (53.5%) zeros	Zeros
`Passengers_Total` has 6195 (6.9%) zeros	Zeros
`Freight_Total_(tonnes)` has 16455 (18.4%) zeros	Zeros
`Mail_Total_(tonnes)` has 38795 (43.4%) zeros	Zeros

Reproduction

Analysis started	2025-07-30 15:35:54.577911
Analysis finished	2025-07-30 15:36:02.845762
Duration	8.27 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Month
Text

Distinct	482
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	697.9 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	535920
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Jan-85
2nd row	Jan-85
3rd row	Jan-85
4th row	Jan-85
5th row	Jan-85

Value	Count	Frequency (%)
jun-00	314	0.4%
dec-99	311	0.3%
nov-99	311	0.3%
oct-99	311	0.3%
apr-00	307	0.3%
may-00	306	0.3%
feb-00	305	0.3%
mar-00	304	0.3%
oct-00	291	0.3%
jan-00	290	0.3%
Other values (472)	86270	96.6%

Most occurring characters

Value	Count	Frequency (%)
-	89320	16.7%
9	37778	7.0%
0	31157	5.8%
1	27847	5.2%
e	22592	4.2%
a	22346	4.2%
J	22341	4.2%
u	22087	4.1%
8	20737	3.9%
2	17225	3.2%
Other values (23)	222490	41.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	178640	33.3%
Lowercase Letter	178640	33.3%
Dash Punctuation	89320	16.7%
Uppercase Letter	89320	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	22592	12.6%
a	22346	12.5%
u	22087	12.4%
c	15120	8.5%
n	14964	8.4%
r	14764	8.3%
p	14706	8.2%
b	7598	4.3%
t	7529	4.2%
v	7463	4.2%
Other values (4)	29471	16.5%

Decimal Number

Value	Count	Frequency (%)
9	37778	21.1%
0	31157	17.4%
1	27847	15.6%
8	20737	11.6%
2	17225	9.6%
7	9371	5.2%
6	9038	5.1%
5	8852	5.0%
4	8388	4.7%
3	8247	4.6%

Uppercase Letter

Value	Count	Frequency (%)
J	22341	25.0%
M	14735	16.5%
A	14660	16.4%
F	7598	8.5%
D	7591	8.5%
O	7529	8.4%
N	7463	8.4%
S	7403	8.3%

Dash Punctuation

Value	Count	Frequency (%)
-	89320	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	267960	50.0%
Latin	267960	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	22592	8.4%
a	22346	8.3%
J	22341	8.3%
u	22087	8.2%
c	15120	5.6%
n	14964	5.6%
r	14764	5.5%
M	14735	5.5%
p	14706	5.5%
A	14660	5.5%
Other values (12)	89645	33.5%

Common

Value	Count	Frequency (%)
-	89320	33.3%
9	37778	14.1%
0	31157	11.6%
1	27847	10.4%
8	20737	7.7%
2	17225	6.4%
7	9371	3.5%
6	9038	3.4%
5	8852	3.3%
4	8388	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	535920	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	89320	16.7%
9	37778	7.0%
0	31157	5.8%
1	27847	5.2%
e	22592	4.2%
a	22346	4.2%
J	22341	4.2%
u	22087	4.1%
8	20737	3.9%
2	17225	3.2%
Other values (23)	222490	41.5%

AustralianPort
Categorical

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	697.9 KiB

Sydney	25366
Melbourne	18167
Brisbane	14728
Perth	9415
Cairns	6974
Other values (14)	14670

Length

Max length	22
Median length	18
Mean length	7.2402597
Min length	5

Characters and Unicode

Total characters	646700
Distinct characters	37
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Adelaide
2nd row	Adelaide
3rd row	Adelaide
4th row	Adelaide
5th row	Adelaide

Common Values

Value	Count	Frequency (%)
Sydney	25366	28.4%
Melbourne	18167	20.3%
Brisbane	14728	16.5%
Perth	9415	10.5%
Cairns	6974	7.8%
Adelaide	6241	7.0%
Darwin	4542	5.1%
Gold Coast	1202	1.3%
Townsville	660	0.7%
Gold Coast/Coolangatta	503	0.6%
Other values (9)	1522	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sydney	25366	27.6%
melbourne	18167	19.7%
brisbane	14728	16.0%
perth	9415	10.2%
cairns	6974	7.6%
adelaide	6241	6.8%
darwin	4542	4.9%
gold	1705	1.9%
coast	1257	1.4%
townsville	660	0.7%
Other values (13)	2958	3.2%

Most occurring characters

Value	Count	Frequency (%)
e	99645	15.4%
n	71987	11.1%
r	55279	8.5%
y	50732	7.8%
d	40655	6.3%
a	37499	5.8%
b	33487	5.2%
i	33280	5.1%
l	29453	4.6%
S	25421	3.9%
Other values (27)	169262	26.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	550988	85.2%
Uppercase Letter	92516	14.3%
Space Separator	2693	0.4%
Other Punctuation	503	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	99645	18.1%
n	71987	13.1%
r	55279	10.0%
y	50732	9.2%
d	40655	7.4%
a	37499	6.8%
b	33487	6.1%
i	33280	6.0%
l	29453	5.3%
o	25389	4.6%
Other values (12)	73582	13.4%

Uppercase Letter

Value	Count	Frequency (%)
S	25421	27.5%
M	18167	19.6%
B	14770	16.0%
P	9702	10.5%
C	9439	10.2%
A	6241	6.7%
D	4542	4.9%
G	1705	1.8%
T	778	0.8%
H	639	0.7%
Other values (3)	1112	1.2%

Space Separator

Value	Count	Frequency (%)
	2693	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	503	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	643504	99.5%
Common	3196	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	99645	15.5%
n	71987	11.2%
r	55279	8.6%
y	50732	7.9%
d	40655	6.3%
a	37499	5.8%
b	33487	5.2%
i	33280	5.2%
l	29453	4.6%
S	25421	4.0%
Other values (25)	166066	25.8%

Common

Value	Count	Frequency (%)
	2693	84.3%
/	503	15.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	646700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	99645	15.4%
n	71987	11.1%
r	55279	8.5%
y	50732	7.8%
d	40655	6.3%
a	37499	5.8%
b	33487	5.2%
i	33280	5.1%
l	29453	4.6%
S	25421	3.9%
Other values (27)	169262	26.2%

ForeignPort
Text

Distinct	200
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	697.9 KiB

Length

Max length	22
Median length	15
Mean length	8.0665137
Min length	3

Characters and Unicode

Total characters	720501
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	< 0.1%

Sample

1st row	Auckland
2nd row	Bahrain
3rd row	Bombay
4th row	Frankfurt
5th row	London

Value	Count	Frequency (%)
auckland	3820	3.5%
singapore	3612	3.3%
denpasar	3265	3.0%
port	3155	2.9%
hong	3071	2.8%
kong	3071	2.8%
kuala	2744	2.5%
lumpur	2744	2.5%
tokyo	2614	2.4%
bangkok	2487	2.3%
Other values (223)	79435	72.2%

Most occurring characters

Value	Count	Frequency (%)
a	82627	11.5%
n	63710	8.8%
o	62900	8.7%
r	42659	5.9%
e	42396	5.9%
u	41064	5.7%
i	37998	5.3%
g	27454	3.8%
l	25069	3.5%
s	22965	3.2%
Other values (47)	271659	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	589739	81.9%
Uppercase Letter	109959	15.3%
Space Separator	20698	2.9%
Other Punctuation	100	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	82627	14.0%
n	63710	10.8%
o	62900	10.7%
r	42659	7.2%
e	42396	7.2%
u	41064	7.0%
i	37998	6.4%
g	27454	4.7%
l	25069	4.3%
s	22965	3.9%
Other values (16)	140897	23.9%

Uppercase Letter

Value	Count	Frequency (%)
A	10211	9.3%
S	9749	8.9%
H	9003	8.2%
B	8275	7.5%
D	7713	7.0%
L	7694	7.0%
M	6705	6.1%
N	6645	6.0%
K	6631	6.0%
C	6187	5.6%
Other values (16)	31146	28.3%

Space Separator

Value	Count	Frequency (%)
	20698	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	100	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	699698	97.1%
Common	20803	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	82627	11.8%
n	63710	9.1%
o	62900	9.0%
r	42659	6.1%
e	42396	6.1%
u	41064	5.9%
i	37998	5.4%
g	27454	3.9%
l	25069	3.6%
s	22965	3.3%
Other values (42)	250856	35.9%

Common

Value	Count	Frequency (%)
	20698	99.5%
'	100	0.5%
(	2	< 0.1%
)	2	< 0.1%
-	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	720501	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	82627	11.5%
n	63710	8.8%
o	62900	8.7%
r	42659	5.9%
e	42396	5.9%
u	41064	5.7%
i	37998	5.3%
g	27454	3.8%
l	25069	3.5%
s	22965	3.2%
Other values (47)	271659	37.7%

Country
Text

Distinct	78
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	697.9 KiB

Length

Max length	20
Median length	14
Mean length	7.8416256
Min length	2

Characters and Unicode

Total characters	700414
Distinct characters	54
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	New Zealand
2nd row	Bahrain
3rd row	India
4th row	Germany
5th row	UK

Value	Count	Frequency (%)
new	14175	12.0%
zealand	10667	9.0%
usa	9394	7.9%
japan	5835	4.9%
indonesia	5681	4.8%
china	5086	4.3%
singapore	3612	3.0%
thailand	3227	2.7%
malaysia	3099	2.6%
hong	3071	2.6%
Other values (79)	54659	46.1%

Most occurring characters

Value	Count	Frequency (%)
a	111854	16.0%
n	71786	10.2%
e	57556	8.2%
i	52969	7.6%
	29186	4.2%
d	29101	4.2%
l	25382	3.6%
o	23952	3.4%
r	21096	3.0%
s	18581	2.7%
Other values (44)	258951	37.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	525633	75.0%
Uppercase Letter	142923	20.4%
Space Separator	29186	4.2%
Close Punctuation	1335	0.2%
Open Punctuation	1335	0.2%
Other Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	111854	21.3%
n	71786	13.7%
e	57556	10.9%
i	52969	10.1%
d	29101	5.5%
l	25382	4.8%
o	23952	4.6%
r	21096	4.0%
s	18581	3.5%
w	16255	3.1%
Other values (15)	97101	18.5%

Uppercase Letter

Value	Count	Frequency (%)
S	17603	12.3%
N	15541	10.9%
A	15440	10.8%
U	14851	10.4%
Z	11362	7.9%
I	9653	6.8%
C	9602	6.7%
K	7233	5.1%
J	5835	4.1%
T	5830	4.1%
Other values (15)	29973	21.0%

Space Separator

Value	Count	Frequency (%)
	29186	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1335	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1335	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	668556	95.5%
Common	31858	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	111854	16.7%
n	71786	10.7%
e	57556	8.6%
i	52969	7.9%
d	29101	4.4%
l	25382	3.8%
o	23952	3.6%
r	21096	3.2%
s	18581	2.8%
S	17603	2.6%
Other values (40)	238676	35.7%

Common

Value	Count	Frequency (%)
	29186	91.6%
)	1335	4.2%
(	1335	4.2%
.	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	700414	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	111854	16.0%
n	71786	10.2%
e	57556	8.2%
i	52969	7.6%
	29186	4.2%
d	29101	4.2%
l	25382	3.6%
o	23952	3.4%
r	21096	3.0%
s	18581	2.7%
Other values (44)	258951	37.0%

Passengers_In
Real number (ℝ)

High correlation Zeros

Distinct	18412
Distinct (%)	20.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4561.9724

Minimum	0
Maximum	90926
Zeros	10282
Zeros (%)	11.5%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	128
median	1290
Q3	4831
95-th percentile	21184.2
Maximum	90926
Range	90926
Interquartile range (IQR)	4703

Descriptive statistics

Standard deviation	8564.7251
Coefficient of variation (CV)	1.8774171
Kurtosis	16.653361
Mean	4561.9724
Median Absolute Deviation (MAD)	1288
Skewness	3.6218348
Sum	4.0747537 × 10⁸
Variance	73354515
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10282	11.5%
1	673	0.8%
2	595	0.7%
4	390	0.4%
3	380	0.4%
5	306	0.3%
6	305	0.3%
7	245	0.3%
9	240	0.3%
8	238	0.3%
Other values (18402)	75666	84.7%

Value	Count	Frequency (%)
0	10282	11.5%
1	673	0.8%
2	595	0.7%
3	380	0.4%
4	390	0.4%
5	306	0.3%
6	305	0.3%
7	245	0.3%
8	238	0.3%
9	240	0.3%

Value	Count	Frequency (%)
90926	1	< 0.1%
88675	1	< 0.1%
84980	1	< 0.1%
84314	1	< 0.1%
83898	1	< 0.1%
83286	1	< 0.1%
82151	1	< 0.1%
81900	1	< 0.1%
81244	1	< 0.1%
80960	1	< 0.1%

Freight_In_(tonnes)
Real number (ℝ)

High correlation Zeros

Distinct	51040
Distinct (%)	57.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167.34267

Minimum	0
Maximum	6764.923
Zeros	22229
Zeros (%)	24.9%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.002
median	14.962
Q3	136.58375
95-th percentile	884.2175
Maximum	6764.923
Range	6764.923
Interquartile range (IQR)	136.58175

Descriptive statistics

Standard deviation	407.41524
Coefficient of variation (CV)	2.4346166
Kurtosis	35.935575
Mean	167.34267
Median Absolute Deviation (MAD)	14.962
Skewness	4.9471999
Sum	14947047
Variance	165987.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	22229	24.9%
0.1	105	0.1%
0.01	72	0.1%
0.002	72	0.1%
0.001	71	0.1%
0.2	67	0.1%
0.003	57	0.1%
0.005	54	0.1%
0.004	54	0.1%
0.02	48	0.1%
Other values (51030)	66491	74.4%

Value	Count	Frequency (%)
0	22229	24.9%
0.001	71	0.1%
0.002	72	0.1%
0.003	57	0.1%
0.004	54	0.1%
0.005	54	0.1%
0.006	33	< 0.1%
0.007	48	0.1%
0.008	43	< 0.1%
0.009	35	< 0.1%

Value	Count	Frequency (%)
6764.923	1	< 0.1%
6751.778	1	< 0.1%
6725.072	1	< 0.1%
6615.954	1	< 0.1%
6493.122	1	< 0.1%
6469.027	1	< 0.1%
6368.841	1	< 0.1%
6267.136	1	< 0.1%
6260.926	1	< 0.1%
6253.855	1	< 0.1%

Mail_In_(tonnes)
Real number (ℝ)

High correlation Zeros

Distinct	18481
Distinct (%)	20.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.4427281

Minimum	0
Maximum	393.705
Zeros	50311
Zeros (%)	56.3%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1.703
95-th percentile	47.2232
Maximum	393.705
Range	393.705
Interquartile range (IQR)	1.703

Descriptive statistics

Standard deviation	23.809746
Coefficient of variation (CV)	3.1990617
Kurtosis	38.716569
Mean	7.4427281
Median Absolute Deviation (MAD)	0
Skewness	5.4492278
Sum	664784.47
Variance	566.90402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	50311	56.3%
0.001	310	0.3%
0.002	177	0.2%
0.004	150	0.2%
0.006	129	0.1%
0.005	120	0.1%
0.009	118	0.1%
0.003	115	0.1%
0.008	111	0.1%
0.01	104	0.1%
Other values (18471)	37675	42.2%

Value	Count	Frequency (%)
0	50311	56.3%
0.001	310	0.3%
0.002	177	0.2%
0.003	115	0.1%
0.004	150	0.2%
0.005	120	0.1%
0.006	129	0.1%
0.007	97	0.1%
0.008	111	0.1%
0.009	118	0.1%

Value	Count	Frequency (%)
393.705	1	< 0.1%
350.756	1	< 0.1%
349.801	1	< 0.1%
348.758	1	< 0.1%
340.111	1	< 0.1%
337.882	1	< 0.1%
323.973	1	< 0.1%
321.73	1	< 0.1%
317.128	1	< 0.1%
314.621	1	< 0.1%

Passengers_Out
Real number (ℝ)

High correlation Zeros

Distinct	18364
Distinct (%)	20.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4491.4807

Minimum	0
Maximum	91078
Zeros	9387
Zeros (%)	10.5%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	133
median	1265
Q3	4698.25
95-th percentile	20949.25
Maximum	91078
Range	91078
Interquartile range (IQR)	4565.25

Descriptive statistics

Standard deviation	8416.1984
Coefficient of variation (CV)	1.8738137
Kurtosis	16.48251
Mean	4491.4807
Median Absolute Deviation (MAD)	1260
Skewness	3.5971485
Sum	4.0117906 × 10⁸
Variance	70832395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9387	10.5%
1	705	0.8%
2	595	0.7%
3	425	0.5%
4	412	0.5%
5	334	0.4%
6	294	0.3%
8	260	0.3%
7	258	0.3%
10	232	0.3%
Other values (18354)	76418	85.6%

Value	Count	Frequency (%)
0	9387	10.5%
1	705	0.8%
2	595	0.7%
3	425	0.5%
4	412	0.5%
5	334	0.4%
6	294	0.3%
7	258	0.3%
8	260	0.3%
9	206	0.2%

Value	Count	Frequency (%)
91078	1	< 0.1%
89209	1	< 0.1%
85562	1	< 0.1%
84510	1	< 0.1%
83168	1	< 0.1%
83117	1	< 0.1%
82766	1	< 0.1%
82560	1	< 0.1%
82242	1	< 0.1%
82129	1	< 0.1%

Freight_Out_(tonnes)
Real number (ℝ)

High correlation Zeros

Distinct	50507
Distinct (%)	56.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	148.40685

Minimum	0
Maximum	4996.582
Zeros	21819
Zeros (%)	24.4%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.01175
median	14.072
Q3	118.1255
95-th percentile	771.9082
Maximum	4996.582
Range	4996.582
Interquartile range (IQR)	118.11375

Descriptive statistics

Standard deviation	363.85378
Coefficient of variation (CV)	2.4517317
Kurtosis	25.177994
Mean	148.40685
Median Absolute Deviation (MAD)	14.072
Skewness	4.5082317
Sum	13255700
Variance	132389.58
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	21819	24.4%
0.1	78	0.1%
0.001	67	0.1%
0.01	61	0.1%
0.02	58	0.1%
0.002	52	0.1%
0.005	48	0.1%
0.015	46	0.1%
0.004	46	0.1%
0.006	45	0.1%
Other values (50497)	67000	75.0%

Value	Count	Frequency (%)
0	21819	24.4%
0.001	67	0.1%
0.002	52	0.1%
0.003	41	< 0.1%
0.004	46	0.1%
0.005	48	0.1%
0.006	45	0.1%
0.007	35	< 0.1%
0.008	41	< 0.1%
0.009	40	< 0.1%

Value	Count	Frequency (%)
4996.582	1	< 0.1%
4422.703	1	< 0.1%
4380.961	1	< 0.1%
4319.344	1	< 0.1%
4287.038	1	< 0.1%
4211.761	1	< 0.1%
4179.273	1	< 0.1%
4141.178	1	< 0.1%
4089.763	1	< 0.1%
4035.849	1	< 0.1%

Mail_Out_(tonnes)
Real number (ℝ)

High correlation Zeros

Distinct	16195
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6284511

Minimum	0
Maximum	382.229
Zeros	47753
Zeros (%)	53.5%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1.55125
95-th percentile	28.29005
Maximum	382.229
Range	382.229
Interquartile range (IQR)	1.55125

Descriptive statistics

Standard deviation	14.769693
Coefficient of variation (CV)	3.1910659
Kurtosis	61.998256
Mean	4.6284511
Median Absolute Deviation (MAD)	0
Skewness	6.2600512
Sum	413413.25
Variance	218.14382
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	47753	53.5%
0.001	221	0.2%
0.004	149	0.2%
0.002	139	0.2%
0.003	138	0.2%
0.005	133	0.1%
0.011	119	0.1%
0.008	119	0.1%
0.007	110	0.1%
0.006	110	0.1%
Other values (16185)	40329	45.2%

Value	Count	Frequency (%)
0	47753	53.5%
0.001	221	0.2%
0.002	139	0.2%
0.003	138	0.2%
0.004	149	0.2%
0.005	133	0.1%
0.006	110	0.1%
0.007	110	0.1%
0.008	119	0.1%
0.009	104	0.1%

Value	Count	Frequency (%)
382.229	1	< 0.1%
359.956	1	< 0.1%
358.67	1	< 0.1%
353.028	1	< 0.1%
323.718	1	< 0.1%
298.339	1	< 0.1%
288.633	1	< 0.1%
254.821	1	< 0.1%
249.821	1	< 0.1%
246.197	1	< 0.1%

Passengers_Total
Real number (ℝ)

High correlation Zeros

Distinct	25835
Distinct (%)	28.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9053.4531

Minimum	0
Maximum	170469
Zeros	6195
Zeros (%)	6.9%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	284
median	2573
Q3	9614
95-th percentile	42050.05
Maximum	170469
Range	170469
Interquartile range (IQR)	9330

Descriptive statistics

Standard deviation	16905.519
Coefficient of variation (CV)	1.8673007
Kurtosis	16.311046
Mean	9053.4531
Median Absolute Deviation (MAD)	2555
Skewness	3.5893243
Sum	8.0865443 × 10⁸
Variance	2.8579659 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6195	6.9%
1	713	0.8%
2	652	0.7%
3	430	0.5%
4	382	0.4%
5	348	0.4%
6	317	0.4%
7	270	0.3%
8	255	0.3%
10	235	0.3%
Other values (25825)	79523	89.0%

Value	Count	Frequency (%)
0	6195	6.9%
1	713	0.8%
2	652	0.7%
3	430	0.5%
4	382	0.4%
5	348	0.4%
6	317	0.4%
7	270	0.3%
8	255	0.3%
9	228	0.3%

Value	Count	Frequency (%)
170469	1	< 0.1%
166362	1	< 0.1%
165111	1	< 0.1%
162036	1	< 0.1%
161346	1	< 0.1%
160623	1	< 0.1%
160620	1	< 0.1%
160562	1	< 0.1%
159558	1	< 0.1%
158788	1	< 0.1%

Freight_Total_(tonnes)
Real number (ℝ)

High correlation Zeros

Distinct	59370
Distinct (%)	66.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	315.74952

Minimum	0
Maximum	9889.553
Zeros	16455
Zeros (%)	18.4%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.781
median	43.536
Q3	275.00325
95-th percentile	1677.7757
Maximum	9889.553
Range	9889.553
Interquartile range (IQR)	274.22225

Descriptive statistics

Standard deviation	728.10837
Coefficient of variation (CV)	2.3059683
Kurtosis	24.600666
Mean	315.74952
Median Absolute Deviation (MAD)	43.536
Skewness	4.3561061
Sum	28202747
Variance	530141.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	16455	18.4%
0.1	65	0.1%
0.01	61	0.1%
0.001	58	0.1%
0.002	55	0.1%
0.004	43	< 0.1%
0.02	42	< 0.1%
0.009	41	< 0.1%
0.17	40	< 0.1%
0.012	39	< 0.1%
Other values (59360)	72421	81.1%

Value	Count	Frequency (%)
0	16455	18.4%
0.001	58	0.1%
0.002	55	0.1%
0.003	38	< 0.1%
0.004	43	< 0.1%
0.005	38	< 0.1%
0.006	38	< 0.1%
0.007	32	< 0.1%
0.008	36	< 0.1%
0.009	41	< 0.1%

Value	Count	Frequency (%)
9889.553	1	< 0.1%
9646.309	1	< 0.1%
9561.433	1	< 0.1%
9315.425	1	< 0.1%
9279.379	1	< 0.1%
9196.365	1	< 0.1%
9026.831	1	< 0.1%
8959.197	1	< 0.1%
8955.371	1	< 0.1%
8728.065	1	< 0.1%

Mail_Total_(tonnes)
Real number (ℝ)

High correlation Zeros

Distinct	23138
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.071179

Minimum	0
Maximum	566.993
Zeros	38795
Zeros (%)	43.4%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.105
Q3	4.932
95-th percentile	74.1866
Maximum	566.993
Range	566.993
Interquartile range (IQR)	4.932

Descriptive statistics

Standard deviation	34.345207
Coefficient of variation (CV)	2.8452238
Kurtosis	29.928787
Mean	12.071179
Median Absolute Deviation (MAD)	0.105
Skewness	4.7894984
Sum	1078197.7
Variance	1179.5932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38795	43.4%
0.001	263	0.3%
0.002	140	0.2%
0.004	138	0.2%
0.005	132	0.1%
0.006	115	0.1%
0.011	115	0.1%
0.012	110	0.1%
0.003	110	0.1%
0.013	107	0.1%
Other values (23128)	49295	55.2%

Value	Count	Frequency (%)
0	38795	43.4%
0.001	263	0.3%
0.002	140	0.2%
0.003	110	0.1%
0.004	138	0.2%
0.005	132	0.1%
0.006	115	0.1%
0.007	100	0.1%
0.008	105	0.1%
0.009	89	0.1%

Value	Count	Frequency (%)
566.993	1	< 0.1%
547.83	1	< 0.1%
541.348	1	< 0.1%
489.908	1	< 0.1%
483.767	1	< 0.1%
474.902	1	< 0.1%
456.677	1	< 0.1%
444.414	1	< 0.1%
441.447	1	< 0.1%
429.292	1	< 0.1%

Year
Real number (ℝ)

Distinct	41
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2003.0775

Minimum	1985
Maximum	2025
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	1985
5-th percentile	1987
Q1	1994
median	2001
Q3	2013
95-th percentile	2022
Maximum	2025
Range	40
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	11.222014
Coefficient of variation (CV)	0.0056023862
Kurtosis	-1.0734928
Mean	2003.0775
Median Absolute Deviation (MAD)	9
Skewness	0.25231677
Sum	1.7891489 × 10⁸
Variance	125.9336
Monotonicity	Increasing

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
2000	3502	3.9%
1999	3407	3.8%
1998	3162	3.5%
1997	3157	3.5%
1996	3035	3.4%
2001	2970	3.3%
1995	2807	3.1%
2002	2769	3.1%
1993	2656	3.0%
1994	2600	2.9%
Other values (31)	59255	66.3%

Value	Count	Frequency (%)
1985	1944	2.2%
1986	2224	2.5%
1987	2284	2.6%
1988	2361	2.6%
1989	2369	2.7%
1990	2471	2.8%
1991	2281	2.6%
1992	2469	2.8%
1993	2656	3.0%
1994	2600	2.9%

Value	Count	Frequency (%)
2025	375	0.4%
2024	2125	2.4%
2023	1923	2.2%
2022	1556	1.7%
2021	1271	1.4%
2020	1373	1.5%
2019	2219	2.5%
2018	2240	2.5%
2017	2106	2.4%
2016	1949	2.2%

Month_num
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4989588

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	697.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.4724299
Coefficient of variation (CV)	0.53430557
Kurtosis	-1.2299644
Mean	6.4989588
Median Absolute Deviation (MAD)	3
Skewness	-0.0020066336
Sum	580487
Variance	12.057769
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	7611	8.5%
2	7598	8.5%
12	7591	8.5%
10	7529	8.4%
11	7463	8.4%
3	7461	8.4%
9	7403	8.3%
7	7377	8.3%
8	7357	8.2%
6	7353	8.2%
Other values (2)	14577	16.3%

Value	Count	Frequency (%)
1	7611	8.5%
2	7598	8.5%
3	7461	8.4%
4	7303	8.2%
5	7274	8.1%
6	7353	8.2%
7	7377	8.3%
8	7357	8.2%
9	7403	8.3%
10	7529	8.4%

Value	Count	Frequency (%)
12	7591	8.5%
11	7463	8.4%
10	7529	8.4%
9	7403	8.3%
8	7357	8.2%
7	7377	8.3%
6	7353	8.2%
5	7274	8.1%
4	7303	8.2%
3	7461	8.4%

	AustralianPort	Freight_In_(tonnes)	Freight_Out_(tonnes)	Freight_Total_(tonnes)	Mail_In_(tonnes)	Mail_Out_(tonnes)	Mail_Total_(tonnes)	Month_num	Passengers_In	Passengers_Out	Passengers_Total	Year
AustralianPort	1.000	0.078	0.063	0.074	0.082	0.055	0.081	0.000	0.082	0.084	0.085	0.126
Freight_In_(tonnes)	0.078	1.000	0.808	0.954	0.656	0.496	0.638	0.014	0.724	0.718	0.722	0.289
Freight_Out_(tonnes)	0.063	0.808	1.000	0.914	0.636	0.542	0.641	0.009	0.735	0.743	0.742	0.226
Freight_Total_(tonnes)	0.074	0.954	0.914	1.000	0.656	0.513	0.644	0.013	0.716	0.718	0.718	0.282
Mail_In_(tonnes)	0.082	0.656	0.636	0.656	1.000	0.643	0.882	0.005	0.568	0.568	0.571	0.099
Mail_Out_(tonnes)	0.055	0.496	0.542	0.513	0.643	1.000	0.857	0.009	0.468	0.470	0.471	-0.048
Mail_Total_(tonnes)	0.081	0.638	0.641	0.644	0.882	0.857	1.000	0.011	0.560	0.562	0.564	0.053
Month_num	0.000	0.014	0.009	0.013	0.005	0.009	0.011	1.000	-0.003	0.007	0.002	-0.014
Passengers_In	0.082	0.724	0.735	0.716	0.568	0.468	0.560	-0.003	1.000	0.972	0.991	0.359
Passengers_Out	0.084	0.718	0.743	0.718	0.568	0.470	0.562	0.007	0.972	1.000	0.992	0.365
Passengers_Total	0.085	0.722	0.742	0.718	0.571	0.471	0.564	0.002	0.991	0.992	1.000	0.361
Year	0.126	0.289	0.226	0.282	0.099	-0.048	0.053	-0.014	0.359	0.365	0.361	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Month	AustralianPort	ForeignPort	Country	Passengers_In	Freight_In_(tonnes)	Mail_In_(tonnes)	Passengers_Out	Freight_Out_(tonnes)	Mail_Out_(tonnes)	Passengers_Total	Freight_Total_(tonnes)	Mail_Total_(tonnes)	Year	Month_num
0	Jan-85	Adelaide	Auckland	New Zealand	1513	42.167	0.311	985	18.704	0.924	2498	60.871	1.235	1985	1
1	Jan-85	Adelaide	Bahrain	Bahrain	12	0.000	0.000	5	0.033	0.000	17	0.033	0.000	1985	1
2	Jan-85	Adelaide	Bombay	India	7	0.000	0.000	5	0.000	0.000	12	0.000	0.000	1985	1
3	Jan-85	Adelaide	Frankfurt	Germany	115	0.009	0.000	171	0.000	0.248	286	0.009	0.248	1985	1
4	Jan-85	Adelaide	London	UK	1567	2.800	0.000	1472	10.618	2.487	3039	13.418	2.487	1985	1
5	Jan-85	Adelaide	Muscat	Oman	17	0.000	0.000	14	0.100	0.000	31	0.100	0.000	1985	1
6	Jan-85	Adelaide	Rome	Italy	79	0.005	0.000	44	0.000	0.000	123	0.005	0.000	1985	1
7	Jan-85	Adelaide	Singapore	Singapore	2496	37.345	0.000	2037	133.203	0.112	4533	170.548	0.112	1985	1
8	Jan-85	Brisbane	Abu Dhabi	United Arab Emirates	0	0.000	0.000	3	0.000	0.000	3	0.000	0.000	1985	1
9	Jan-85	Brisbane	Auckland	New Zealand	7157	223.258	0.671	5652	33.032	3.218	12809	256.290	3.889	1985	1

	Month	AustralianPort	ForeignPort	Country	Passengers_In	Freight_In_(tonnes)	Mail_In_(tonnes)	Passengers_Out	Freight_Out_(tonnes)	Mail_Out_(tonnes)	Passengers_Total	Freight_Total_(tonnes)	Mail_Total_(tonnes)	Year	Month_num
89310	Feb-25	Sydney	Tokyo	Japan	35130	984.611	71.659	31216	553.562	10.333	66346	1538.173	81.992	2025	2
89311	Feb-25	Sydney	Tongatapu	Tonga	516	0.000	0.000	497	0.093	0.007	1013	0.093	0.007	2025	2
89312	Feb-25	Sydney	Toronto	Canada	1471	0.000	0.000	1518	0.000	0.245	2989	0.000	0.245	2025	2
89313	Feb-25	Sydney	Vancouver	Canada	8784	193.381	4.149	7628	254.558	50.775	16412	447.939	54.924	2025	2
89314	Feb-25	Sydney	Wellington	New Zealand	10231	7.356	0.000	9183	5.971	0.082	19414	13.327	0.082	2025	2
89315	Feb-25	Sydney	Wuhan	China	2255	23.744	1.544	512	46.932	0.038	2767	70.676	1.582	2025	2
89316	Feb-25	Sydney	Xiamen	China	7474	299.490	0.610	4456	194.780	0.000	11930	494.270	0.610	2025	2
89317	Feb-25	Sydney	Xi'an	China	1136	30.711	0.000	295	49.284	0.003	1431	79.995	0.003	2025	2
89318	Feb-25	Sydney	Zhengzhou	China	1620	49.738	13.430	690	2.520	0.000	2310	52.258	13.430	2025	2
89319	Feb-25	Toowoomba Wellcamp	Hong Kong	Hong Kong (SAR)	0	31.816	0.000	0	93.068	0.000	0	124.884	0.000	2025	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Close Punctuation

Open Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample